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A reactive tracer method for predicting EGS reservoir geometry and thermal lifetime: development and field validation

Technical Report ·
DOI:https://doi.org/10.2172/1969845· OSTI ID:1969845

The project summarized here (DOE Award No. DE-EE0006764) was intended to develop a methodology for predicting advective heat transfer in fracture-dominated crystalline rock. Our goal was to determine if a combination of inert and reactive tracers could adequately constrain the effective heat transfer surface area between an injection-production well pair. Our approach consisted of: 1. developing a novel computational framework; 2. Performing heat and tracer experiments at meso-scale; and 3. Comparing predictions of advective heat transfer to the “true” thermal breakthrough measured at the Altona site. Below is a summary of project activities/findings, a summary of project tasks, and a conclusion

Research Organization:
Cornell Univ., Ithaca, NY (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office
DOE Contract Number:
EE0006764
OSTI ID:
1969845
Type / Phase:
STTR
Report Number(s):
A reactive tracer method for predicting EGS reservoir geometry and thermal lifetime: development and field validation
Country of Publication:
United States
Language:
English

References (5)

Predicting Thermal Performance of an Enhanced Geothermal System From Tracer Tests in a Data Assimilation Framework journal December 2021
The evolving role of geothermal energy for decarbonizing the United States journal January 2021
Temperature-responsive smart tracers for field-measurement of inter-well thermal evolution: Heterogeneous kinetics and field demonstration journal May 2021
Characterization of flow and transport in a fracture network at the EGS Collab field experiment through stochastic modeling of tracer recovery journal February 2021
Predictive Inverse Model for Advective Heat Transfer in a Short‐Circuited Fracture: Dimensional Analysis, Machine Learning, and Field Demonstration journal November 2020